The Leading Source for Global News and Information Covering the Ecosystem of High Productivity Computing
November 23, 2007
Nov. 20 -- Gene H. Golub, a professor emeritus who helped found the Stanford Computer Science Department in the 1960s, died Nov. 16, at Stanford Hospital, a few days after being diagnosed with leukemia. He was 75.
Golub was known as a pioneer in the field of numerical analysis, creating algorithms and software that allowed researchers to run engineering and science calculations on computers. A large, outgoing man, he had a reputation for generosity to his students and colleagues at Stanford and around the world. A frequent scientific traveler, he was returning home from Hong Kong when he fell ill.
Earlier this year, Golub was nominated for the Turing Award, often described as the Nobel Prize of computing. The nomination cited, among other accomplishments, his contributions to matrix computations, a subject with profound importance for solving complex problems such as predicting the weather, studying the stability of structures, and finding oil deposits.
"Our community has lost its foremost member," said Cleve Moler, another recognized leader in numerical analysis and the founder of MathWorks, a company that produces software for technical computing and design.
Golub was born in Chicago in 1932, the son of parents who immigrated from Latvia and the Ukraine. His intellectual blossoming began in high school. "My brother had an interest in almost everything," Al Golub said from his home in Chicago.
After earning three mathematics degrees from the University of Illinois (bachelors, masters and PhD) and working a couple of brief jobs, Golub arrived at Stanford as a visiting assistant professor in the computer science "division" in 1962. Thus began a relationship that lasted until his death 45 years later.
"How fortunate he was to have found a niche he was suited for. He found Stanford, or Stanford found him," said Al Golub. "Very few of us can say, Gee, this is what I was born to do, like this is the only girl I've ever loved."
In 1964, Golub created an algorithm for computing what's known as the singular value decomposition, or SVD. The algorithm is used in a variety of applications, including search engines, signal processing and data analysis. It is sometimes called the "Swiss Army knife" of numerical computation for its versatility.
"We'll always remember him as "Professor SVD," said Professor Michael Saunders, a Golub graduate student and later colleague and friend. Saunders listed numerical analysis terms that always will be associated with Golub: the QR method for least squares; SVD; generalized CG; separable least squares; total least squares; moments and quadrature.
(Digg, Technorati, more)
PGI Accelerator™ Fortran 95/03 and C99 compilers for x64+NVIDIA
Accelerate applications on x64+GPU platforms by adding OpenMP-like compiler directives to existing Fortran and C programs. Available now for Linux, MacOS and Windows. Download a free 15 day trial.
Platform HPC Workgroup Manager
Platform HPC Workgroup Manager integrates all the cluster productivity tools you need to deploy, run and manage your HPC environment.
C-DAC announces plans for a petaflop system; IBM researchers are working on vertical integration techniques to extend Moore's Law another 15 years. We recap those stories and more in our weekly wrapup.
Read More...
The Moscow State University supercomputer, Lomonosov, has been selected for a high-performance makeover, with the goal of tripling its processing power to achieve petaflop-level performance in 2010. T-Platforms, who developed and manufactured the supercomputer, is the odds-on favorite to lead the project.
Read More...
Right on schedule, Intel has launched its Xeon 5600 processors, codenamed "Westmere EP." The 5600 represents the 32nm sequel to the Xeon 5500 (Nehalem EP) for dual-socket servers. Intel is touting better performance and energy efficiency, along with new security features, as the big selling points of the new Xeons.
Read More...
Mar 19 | OfficialWire | New super to support intelligence work Down Under. Read more...
Mar 18 | ChannelWeb | Westmere parts already showing up in HPC machines. Read more...
Mar 17 | The Register | But what about the tier ones? Read more...
Mar 17 | Cadalyst Magazine | A new generation of workstations is changing the nature of technical computing. Read more...
Mar 17 | Linux Magazine | Latest iteration of Sun Grid Engine able to tap into Cloud. Read more...
Jan 12 | | In-depth look at vSMP Foundation server virtualization technology, technical implementation, use cases and capabilities. The technical whitepaper provides an architectural overview and details on the three vSMP Foundation products: vSMP Foundation for SMP, vSMP Foundation for Cluster and vSMP Foundation for Cloud.
Jan 18 | | This white paper discusses Gore’s copper cable assemblies, and how they continue to exceed the standards for providing reliable, cost-effective solutions for high-performance computer applications.
Join this online panel discussion for live Q&A with leading industry experts, analysts, and end-users to discuss the latest innovations, best practices, barriers to implementation, and measurable benefits of server virtualization with a particular focus on today's real world solutions.
Learn about scalable fault-tolerant architectures and examples of energy efficient and scalable supercomputing clusters using dual QDR InfiniBand to combine capacity computing with network failover capabilities with the help of programming languages such as MPI and a robust Linux cluster management package.
LIVE@SCO9: The IBM team discusses new innovations in hardware, software and services that help clients better understand their workloads and get insight from their R&D efforts. Technology demonstrations include the soon-to-be-released Power7 HPC processor, the DCS990 system with 2.4 petabytes of storage, the xCAT management tool, secure HPC cloud computing and more. Winners of two HPCwire Readers' and Editors’ Choice Awards! Take the IBM virtual tour at SC09 or more information go online to: http://www-03.ibm.com/systems/deepcomputing/sc09.html